ABSTRACT
Background: Disturbed biochemical factors have been observed in viral infections including SARS, Ebola virus, and now COVID-19. This study aimed to evaluate the association between Calcium axis' derangements and hospital duration, ICU admission, mechanical ventilation, and death in patients with COVID-19. Methods: 428 hospitalized patients with COVID-19 were included in this study. On the first day of admission, the patients were extensively evaluated for biochemical and hormonal factors and followed up until discharge/death. The association between hyperphosphatemia, hypoalbuminemia, and hypocalcemia and major outcomes, including hospital duration, ICU admission, mechanical ventilation, and death, was investigated by logistic regression analysis. Results: Hyperphosphatemia and hypoalbuminemia were present in 27 (6.3%) and 59 (13.8%) cases, respectively in the study population. The results of the present study reveal the relation of these factors with worse outcomes in COVID-19 patients; such as hospital duration, ICU admission, mechanical ventilation, and death. On the other hand, high frequency of hypocalcemia (59.1%, 253 subject) has no significant influence on the mentioned outcomes (All P values were greater than 0.05). Conclusions: Poor outcomes were associated with hyperphosphatemia and hypoalbuminemia. It seems that we should evaluate the patients for derangements of phosphate, albumin, and calcium and try to treat them for all COVID-19 patients.
ABSTRACT
During an ultrasound (US) scan, the sonographer is in close contact with the patient, which puts them at risk of COVID-19 transmission. In this paper, we propose a robot-assisted system that automatically scans tissue, increasing sonographer/patient distance and decreasing contact duration between them. This method is developed as a quick response to the COVID-19 pandemic. It considers the preferences of the sonographers in terms of how US scanning is done and can be trained quickly for different applications. Our proposed system automatically scans the tissue using a dexterous robot arm that holds US probe. The system assesses the quality of the acquired US images in real-time. This US image feedback will be used to automatically adjust the US probe contact force based on the quality of the image frame. The quality assessment algorithm is based on three US image features: correlation, compression and noise characteristics. These US image features are input to the SVM classifier, and the robot arm will adjust the US scanning force based on the SVM output. The proposed system enables the sonographer to maintain a distance from the patient because the sonographer does not have to be holding the probe and pressing against the patient's body for any prolonged time. The SVM was trained using bovine and porcine biological tissue, the system was then tested experimentally on plastisol phantom tissue. The result of the experiments shows us that our proposed quality assessment algorithm successfully maintains US image quality and is fast enough for use in a robotic control loop.
ABSTRACT
Kinin-kallikrein system might be a responsible component in the clinical observations of patients with COVID-19. If we shift our focus to breaking the inflammation cascade of kinin-kallikrein system or blocking the kinin-kallikrein system activation, we probably would achieve more success in lowering COVID-19 symptoms.